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2020 – today
- 2024
[j2]Vito Bellini, Eugenio Di Sciascio, Francesco Maria Donini
, Claudio Pomo, Azzurra Ragone, Angelo Schiavone:
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders. J. Intell. Inf. Syst. 62(3): 787-807 (2024)- 2023
- [c12]Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims:
Contextual Position Bias Estimation Using a Single Stochastic Logging Policy. LERI@RecSys 2023: 55-61 - 2022
- [c11]Matteo Ruffini, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Yannik Stein:
Modeling Position Bias Ranking for Streaming Media Services. WWW (Companion Volume) 2022: 72-76 - [c10]Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen:
Fair Effect Attribution in Parallel Online Experiments. WWW (Companion Volume) 2022: 77-83 - [i7]Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, Matteo Ruffini:
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling. CoRR abs/2205.06024 (2022) - [i6]Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen:
Fair Effect Attribution in Parallel Online Experiments. CoRR abs/2210.08338 (2022) - 2021
- [i5]Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein:
Ranker-agnostic Contextual Position Bias Estimation. CoRR abs/2107.13327 (2021) - 2020
- [c9]Vito Bellini, Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Claudio Pomo:
GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration. EAIS 2020: 1-7 - [p1]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio:
Knowledge-Aware Interpretable Recommender Systems. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 101-124 - [i4]Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella:
A Linear Bandit for Seasonal Environments. CoRR abs/2004.13576 (2020)
2010 – 2019
- 2019
- [j1]Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone:
Semantics-Aware Autoencoder. IEEE Access 7: 166122-166137 (2019) - 2018
- [c8]Vito Bellini, Tommaso Di Noia, Marina Mongiello, Francesco Nocera, Angelo Parchitelli, Eugenio Di Sciascio:
Reflective Internet of Things Middleware-Enabled a Predictive Real-Time Waste Monitoring System. ICWE 2018: 375-383 - [c7]Vito Bellini, Tommaso Di Noia, Eugenio Di Sciascio, Angelo Schiavone:
Exploiting Knowledge Graphs for Auto-Encoding User Ratings in Recommender Systems. IIR 2018 - [c6]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Computing Recommendations via a Knowledge Graph-aware Autoencoder. KaRS@RecSys 2018: 9-15 - [c5]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Knowledge-aware Autoencoders for Explainable Recommender Systems. DLRS@RecSys 2018: 24-31 - [i3]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Computing recommendations via a Knowledge Graph-aware Autoencoder. CoRR abs/1807.05006 (2018) - [i2]Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Knowledge-aware Autoencoders for Explainable Recommender Sytems. CoRR abs/1807.06300 (2018) - 2017
- [c4]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio:
On the Role of Time and Sessions in Diversifying Recommendation Results. IIR 2017: 92-96 - [c3]Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. DLRS@RecSys 2017: 60-66 - [c2]Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio:
An Analysis on Time- and Session-aware Diversification in Recommender Systems. UMAP 2017: 270-274 - [c1]Vito Walter Anelli, Vito Bellini, Andrea Calì, Giuseppe De Santis, Tommaso Di Noia, Eugenio Di Sciascio:
Querying deep web data sources as linked data. WIMS 2017: 32:1-32:7 - [i1]Vito Bellini, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio:
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios. CoRR abs/1706.07956 (2017)
Coauthor Index
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last updated on 2024-08-05 21:22 CEST by the dblp team
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